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7 courses found
Computer Science
IDDept.Crs.Sect.TitleCr.DaysTimeDatesLocationInstructorMethodSize
265825CS232215 4M W F9:00am - 9:50am1.12.26-5.7.26HSH 213Neville, Francois 11/14
H12:00pm - 1:50pm1.12.26-5.7.26S 371Neville, Francois 
Students in this section must come to campus.
Topics include recursion and the study of object-oriented concepts including encapsulation, inheritance and polymorphism. It includes the study of fundamental data structures including strings, lists, stacks, queues, containers classes, binary trees, and hash tables. Also includes a group-oriented software design and implementation project. Includes a two-hour lab. Prerequisite: CS 2321.
265826CS232285 41.12.26-5.7.26Neville, FrancoisONL6/14
Restricted to students in an online program.
Topics include recursion and the study of object-oriented concepts including encapsulation, inheritance and polymorphism. It includes the study of fundamental data structures including strings, lists, stacks, queues, containers classes, binary trees, and hash tables. Also includes a group-oriented software design and implementation project. Includes a two-hour lab. Prerequisite: CS 2321.
266247CS327080 41.12.26-5.7.26Neville, Francois 1/1
This course expands on basic knowledge of markup languages and web programming languages. Students learn how to use current web markup languages, aspects of various transfer protocols, and client-side scripting languages. All of these topics support the development of both web pages and web sites. Students also learn server-side scripting, database connectivity, and dynamic web-page updating. Web development frameworks are also studied.
265828CS335001 3T H9:30am - 10:45am1.12.26-5.7.26HSH 115Neville, Francois 16/35
Uses a language suitable for creating event-driven programs while focusing on methodology suitable for developing event handlers in windows-oriented programs. Prerequisite: CS 2322 or equivalent.
266248CS350780 31.12.26-5.7.26Neville, Francois 1/1
Provides an introduction to the theory and use of modern database systems, with particular focus on SQL, the relational data model, and relational database design. Prerequisite: CS 2322. May not be offered every year.
265827CS375201 3M W F11:00am - 11:50am1.12.26-5.7.26HSH 205Neville, Francois 15/35
This course will provide an investigation into common Data Mining models, methods and techniques pioneered within the field of Artificial Intelligence. Topics covered may include any/all of the following: knowledge representation, clustering schema, decision trees and neural networks. Some student facility with mathematics and basic statistics is assumed. Prerequisites: CS 3528. May not be offered every year.
266229CS497080 31.12.26-5.7.26Neville, Francois 1/1
Graded Satisfactory/Unsatisfactory only. Student internships may be either full-time or part-time in a public or private agency appropriate to the degree objective. Internships consist of closely supervised periods of service that are arranged in advance of the course registration. Students should consult their advisor concerning prerequisites.

Delivery Method Key

  • No delivery method shown indicates course is delivered in-person on-campus.
  • BLND Blended/hybrid: 25-75% of course is delivered online with regularly scheduled in-person meetings.
  • HYFL Course instruction is delivered both in-person and online, you choose the method that is right for you.
  • ONL Course is delivered completely online.
  • ONLP Course is delivered completely online with proctored exams or up to two in-person meetings.
  • ONLS Course is delivered completely online with all or some synchronous class meetings.

Course data last update: 2025-12-27 8:18:05am
Next course data update: 2025-12-27 9:23:07am